Image processing as an instructional tool in introductory signals and systems

In this paper, we explore how the innate interest in image processing exhibited by students can be parlayed into an interest in the mathematics of signals and systems. Specifically, we describe how image processing has been used in Electrical and Computer Engineering at Carnegie Mellon University as a tool to introduce undergraduate and secondary school students to signals and systems concepts. Specifically, we use a combination of demonstrations, lectures, and laboratory exercises and experiments to provide students with an intuitive and mathematical understanding of the use of signals and systems concepts in the context of image processing. As a result, students appear to be more motivated to explore more advanced applied mathematics for signals and systems